An emotion based music recommendation system

🎹 Moodify - an emotion-based music recommendation system that uses AI/ML models to analyze text, speech, and facial expressions, providing personalized music recommendations across web and mobile platforms.

This project is an AI-powered music recommendation system that suggests songs based on the user’s detected emotion.

😃 An Emotion-Based Music Recommendation System 😔

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The Emotion-Based Music Recommendation System provides real-time, personalized song suggestions by analyzing users' emotions, creating a unique and emotionally resonant music experience across various platforms with data privacy.

Building an efficient music recommendation system which determines the emotion of user using Facial Recognition techniques.

This project uses Spotify and Genius to recommend music along with Spotify widget. It contains emotion-based models trained on texts, videos and audios to provide recommendation via those media.

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Ai Music Recommendation System based on your current Emotion

Music Recommendation System Based on Emotion (Python) This Python-based project recommends music by detecting the user's emotions through facial expressions, text, or voice input. Using machine learning models, it suggests songs that align with the user's mood for a personalized listening experience.

This repository hosts a music recommendation system that leverages emotion detection techniques to curate personalized playlists based on users' emotional states. The system utilizes cutting-edge machine learning algorithms to analyze and recognize users' emotions from various inputs, such as facial expressions, voice tones, or text inputs.

Emotion-driven recommendation system, which recommends music based on the real-time mood of the user. Emotion Detection is done by taking an image of the user's face as an input and identifying their mood using convolutional neural networks. Based on the emotion detected, a playlist is recommended to the user which consists of songs suitable to the mood of the user.

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An emotion-based music recommendation system is a music recommendation system that uses machine learning algorithms to analyze the emotional content of songs and match them to the listener's emotional state in order to make personalized recommendations.

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Emotion-based music recommendation system incorporates facial emotiondetection using a camera. The system recommends songs based on theuser's emotional state, providing a personalized music listening experiencethat matches the user's emotional needs

Emotion Based Music Recommendation System : This project implements a Song Recommendation Engine using K-Nearest Neighbors with the Spotify Music Dataset. It combines data from Spotify artists, albums, and tracks to create a comprehensive dataset for analysis and recommendation.

Moodify: An emotion based YouTube music recommendation system. The system uses computer vision and machine learning techniques for emotion recogninition. Then the system recommends/plays a YouTube music based on the recognized emotion.

An AI-based music recommendation system that uses facial emotion detection to suggest songs dynamically.

emoMusic is a emotion based Music Recommendation System which can guess your emotion through your facial expressions and can recommend songs accordingly .

A music recommendation system using facial emotion detection. The system captures real-time facial expressions, classifies emotions, and suggests music tracks based on the detected mood. Integrated with the Spotify API for personalized music recommendations. Built with Python, OpenCV, and deep learning models.

This repository contains the code and dataset used in the research paper "Driver's Companion: Drowsiness Detection and Emotion Based Music Recommendation System" published in the 2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS).

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Project under ML OpenScope Week 2024.

The final year project that will suggest the playlist based on users mood identified by the facial emotions by the mobileNet model using deep learning concepts.

Speech Emotion-Based Music Recommendation System

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Content-based +Emotion/Mood aware Music Recommendation system

Ai Music Recommendation System based on your current Emotion